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Record W2091999638 · doi:10.1080/03057240500127186

Moral maturity and autonomy: appreciating the significance of Lawrence Kolhberg's Just Community

2005· article· en· W2091999638 on OpenAlexaff
Graham P. McDonough

Bibliographic record

VenueJournal of Moral Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsLawrence Kohlberg's stages of moral developmentMoralityMoral developmentAutonomyArgument (complex analysis)EpistemologyMaturity (psychological)SociologyMoral psychologySocial cognitive theory of moralityEnvironmental ethicsMoral reasoningMoral disengagementNeglectPsychologySocial psychologyLawPhilosophyPolitical scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

Lawrence Kohlberg's Just Community program of moral education has conceptual significance to his theoretical work in the field of moral development. This argument contends that a perspective recognizing the Just Community as conceptually significant provides a more comprehensive picture of Kohlberg's work than do critical perspectives that limit their scope to his Structural Stage Model of moral development. Apprehending the Just Community's conceptual significance provides the opportunity to respond to critics, like Carol Gilligan and Helen Haste, who have suggested that Kohlberg's work is inattentive to notions of attachment in morality, but who either neglect or dismiss consideration of the Just Community in making these conclusions. The argument concludes by stating that a more philosophically comprehensive and mature understanding of morality was developing in Kohlberg's Just Community, a project undertaken well in advance of these major criticisms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.034
Scholarly communication0.0070.012
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.364
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2005
Admission routes1
Has abstractyes

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